Table below shows the Results of multiple logistic regression analysis, answer the questions based on information from table.

Present the statistical evidence your answer is based upon.

Q1) Is age a significant predictor of both cigarette smoking and depression, adjusting for all other variables in the table?

Q2) What is(are) the association(s) of age with cigarette smoking and depression?

Q3) Is # of days physical health is not good a significant predictor of both cigarette smoking and depression, adjusting for all other variables in the table?

Q4) What is(are) the association(s) of # of days physical health is not good with cigarette smoking and depression?

DV1: Current DV2: Smoking Depression Independent variable AOR (95% CI) AOR (95% CI) Sex Male 1.28 (1.25, 1.30) 0.52 (0.51, 0.53) Female Reference Reference Race/ethnicity Non-Hispanic White Reference Reference Non-Hispanic Black 1.22 (1.18, 1.27) 0.59 (0.57, 0.62) Hispanic 0.80 (0.77, 0.83) 0.68 (0.65, 0.70) Non-Hispanic Other 1.22 (1.18, 1.26) 0.71 (0.69, 0.74) Age group 18-24 Reference Reference 25-34 2.49 (2.36, 2.63) 1.03 (0.99, 1.08) 35-44 3.00 (2.84, 3.17) 0.89 (0.85, 0.93) 45-54 2.59 (2.45, 2.73) 0.83 (0.79, 0.87) 55-64 2.44 (2.31, 2.57) 0.83 (0.79, 0.86) 65+ 1.14 (1.09, 1.21) 0.61 (0.59, 0.64) Obese status Underweight 1.98 (1.86, 2.12) 1.13 (1.05, 1.22) Normal weight Reference Reference Overweight 0.78 (0.76, 0.80) 1.17 (1.14, 1.20) Obese 0.69 (0.68, 0.71) 1.60 (1.57, 1.64) # of days physical health not good Days (0-30) 1.02 (1.02, 1.02) 1.03 (1.03, 1.03) # of days mental health not good Days (0-30) 1.03 (1.03, 1.03) 1.10 (1.09, 1.10)